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k-NN-p: A paired index structure for k-Nearest Neighbor Search Algorithms over High Dimensional Data and Large Data Sets

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Rapidly Predicting Kohn-Sham Total Energy Using Data-centric AI

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Regeneration of Lithium-ion Battery Impedance using a Novel Machine Learning Framework and Minimal Empirical Data

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ccImpute--an accurate and scalable consensus clustering based algorithm to impute dropout events in the single-cell RNA-seq data

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State of Charge and Temperature-Dependent Impedance Spectra Regeneration of Lithium-ion Battery by Duplex Learning Modeling

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Data on Machine Learning regenerated Lithium-ion battery impedance

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DCEM: An R package for clustering big data via data-centric modification of Expectation Maximization

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Building Machine Learning Systems for Multi-Atoms Structures: CH3NH3PbI3 Perovskite Nanoparticles

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Atom Classification with Machine Learning and Correlations among Physical Properties of ZnO Nanoparticle

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Rare-class Learning over Mg-Doped ZnO Nanoparticles

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